Triple
T16990173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Литейный мост |
E412172
|
entity |
| Predicate | имеетПроезжуюЧасть |
P51093
|
FINISHED |
| Object | автомобильное движение |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: автомобильное движение | Statement: [Литейный мост, имеетПроезжуюЧасть, автомобильное движение]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: имеетПроезжуюЧасть Context triple: [Литейный мост, имеетПроезжуюЧасть, автомобильное движение]
-
A.
hasRoadway
chosen
Indicates that one location or area is connected to another by a road or roadway infrastructure.
-
B.
isCarriagewayOf
Indicates that a given road segment functions as a carriageway that forms part of, or belongs to, a larger road or route.
-
C.
isPartlyTrunkRoad
Indicates that a road segment is partially classified or functions as a trunk road for some portion of its length or role.
-
D.
isPublicRoad
Indicates that a given road is officially designated and accessible for use by the general public.
-
E.
isPavedMostOfWay
Indicates that a route or path is surfaced with pavement for the majority of its length, though not necessarily entirely.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d27fbaa0819099f79fc74d211647 |
completed | April 18, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69e35d552bc08190af17ef7659e094ef |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:32 a.m.